[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

A Unified Framework for Surface Reconstruction

A Modular Framework for 3D Gaussian Splatting and Beyond

Multi-View Environment

[ECCV'20] Convolutional Occupancy Networks

[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

Polygonal Surface Reconstruction from Point Clouds

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians

[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

Volume rendering based surface reconstruction using Unsigned Distance Fields

scikit-fmm is a Python extension module which implements the fast marching method.